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Cited by in F6Publishing
For: Arjmand B, Hamidpour SK, Tayanloo-beik A, Goodarzi P, Aghayan HR, Adibi H, Larijani B. Machine Learning: A New Prospect in Multi-Omics Data Analysis of Cancer. Front Genet 2022;13:824451. [DOI: 10.3389/fgene.2022.824451] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 5.0] [Reference Citation Analysis]
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1 ElKarami B, Alkhateeb A, Qattous H, Alshomali L, Shahrrava B. Multi-omics Data Integration Model Based on UMAP Embedding and Convolutional Neural Network. Cancer Inform 2022;21:11769351221124205. [PMID: 36187912 DOI: 10.1177/11769351221124205] [Reference Citation Analysis]
2 Ge S, Xu C, Li Y, Zhang Y, Li N, Wang F, Ding L, Niu J, Shi Z. Identification of the Diagnostic Biomarker VIPR1 in Hepatocellular Carcinoma Based on Machine Learning Algorithm. Journal of Oncology 2022;2022:1-13. [DOI: 10.1155/2022/2469592] [Reference Citation Analysis]
3 Srivastava R. Applications of artificial intelligence multiomics in precision oncology. J Cancer Res Clin Oncol 2022. [PMID: 35796775 DOI: 10.1007/s00432-022-04161-4] [Reference Citation Analysis]